• DocumentCode
    2538161
  • Title

    Robust video transmission over lossy network by exploiting H.264/AVC data partitioning

  • Author

    Zhang, Xing-Jun ; Peng, Xiao-Hong ; Haywood, R. ; Porter, Tim

  • Author_Institution
    Sch. of Eng. & Appl. Sci., Aston Univ., Birmingham
  • fYear
    2008
  • fDate
    8-11 Sept. 2008
  • Firstpage
    307
  • Lastpage
    314
  • Abstract
    In this paper, a robust H.264/AVC video transmission system over lossy packet network is investigated and implemented. The H.264/AVC standard has defined a new data partition scheme which can be used to perform unequal loss protection (ULP) in video transmission systems. However, few actual implementation and experiments which integrate data partition and loss protection algorithms have been reported. Based on the H.264/AVC data partitioning mechanism, we implement three loss protection schemes using Reed-Solomon and XOR parity codes, namely equal loss protection (ELP), ULP and partition A protection only (PAP). The performance of each scheme is evaluated under different network environments. Experimental results and performance analysis show that ELP has higher peak signal-to-noise ratio (PSNR) values than ULP and PAP, but PAP requires the least redundancy and offers the best tradeoffs between PSNR values and redundancy among all the three schemes.
  • Keywords
    Reed-Solomon codes; packet radio networks; video coding; H.264/AVC data partitioning; H.264/AVC standard; Reed-Solomon code; XOR parity codes; lossy packet network; partition A protection; peak signal-to-noise ratio; unequal loss protection; video transmission system; Automatic voltage control; Error correction; Forward error correction; PSNR; Performance analysis; Propagation losses; Protection; Resilience; Robustness; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Communications, Networks and Systems, 2008. BROADNETS 2008. 5th International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-2391-0
  • Electronic_ISBN
    978-1-4244-2392-7
  • Type

    conf

  • DOI
    10.1109/BROADNETS.2008.4769093
  • Filename
    4769093